Good Papers: read the good ones

Self-evolving search agents suffer co-cheating where proposers and solvers mutually reinforce errors; CrossFit partitions sources to cross-fit agreement and cuts false agreement by over half, boosting downstream search by 8+ points.

Meijia Chen, Hao Li, Zheng Lu, Hongshan Lin and 11 more

Published Sep 30, 2026 · 0 citations · ▲ 670 on Hugging Face

– ReadersNo votes yet

17/20 AI panelreviewers recommend it

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 17 of 20 reviewers recommend it

lenient 4/5

medium 10/10

strict 3/5

45%Niche pick

?Niche pickVote to see the score

NeurIPS 2026McGill Vision-language models

Pixels over Symbols: Sensory Realism Improves Behavioral Alignment in Models of Cognition

Mark Bai, Xiaoxuan Lei, Zihan Weng, MOTAHAREH POURRAHIMI and 2 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet

0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it

lenient 0/5

medium 0/10

strict 0/5

57%Worth a look

?Worth a lookVote to see the score

NeurIPS 2026Université de Montréal McGill Université de Montréal Video understanding

Emotion-Trained Vision Models Do Not Necessarily Learn EEG-Aligned Facial Dynamics

Maryem Benslimane, Hamza Abdelhedi, Vanessa Hadid, Karim Jerbi

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet

1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it

lenient 0/5

medium 0/10

strict 1/5

57%Worth a look

?Worth a lookVote to see the score

NeurIPS 2026MILA & McGill McGill Mila - Quebec AI Institute, Univ Mila / École Polytechnique de Mo McGill University / Mila / DeepM Exploration

Addressing Sparse-Rewards in RL with Scalable Hierarchical Novel Eigen Options

Priyesh Vijayan, Élodie Côté-Gauthier, Mathieu Reymond, Sarath Chandar and 2 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet

1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it

lenient 1/5

medium 0/10

strict 0/5

45%Niche pick

?Niche pickVote to see the score

NeurIPS 2026ETH Zurich / Max Planck Institut Cornell McGill ETH Zürich Test-time compute

A Model of Diverse Sampling from Language Models

Manuel Prada-Corral, Yahya Emara, Timothy O&#x27;Donnell, Ryan Cotterell and 1 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet

0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it

lenient 0/5

medium 0/10

strict 0/5

45%Niche pick

?Niche pickVote to see the score

NeurIPS 2026The Chinese University of Hong K McGill U Manitoba Optimization

Orthogonal Updates for the Win: Towards Accelerated Adaptive Minimax Optimization

Zhiwei Zhai, Xinyu Wang, Wenjing Yan, Lei Ding and 1 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet

0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it

lenient 0/5

medium 0/10

strict 0/5

67%Highly rated

?Highly ratedVote to see the score

NeurIPS 2026The Hong Kong Polytechnic McGill University & Mila - Q Hong Kong Polytechnic Tongji university Tongji Deep RL

Preference-Guided Adversarial Policy Optimization for Long-Tail Robust Driving

Tong Nie, Yihong Tang, Junlin He, Yuewen Mei and 4 more

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

– ReadersNo votes yet

2/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 2 of 20 reviewers recommend it

lenient 2/5

medium 0/10

strict 0/5

45%Niche pick

?Niche pickVote to see the score

NeurIPS 2026McGill University & Mila McGill Long-context modeling

GEAR: Generator-Adaptive State Space Models for Associative Recall

Jun Meng, Mohammadhossein Amouei, Zengyu Lin, Xinyu Hu and 1 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet

0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it

lenient 0/5

medium 0/10

strict 0/5

57%Worth a look

?Worth a lookVote to see the score

NeurIPS 2026Ohio U Wisconsin - Madison McGill McGill Northwestern Clinical NLP & EHR

SMI: Semantic Medical ID for Hierarchy-Aware Concept Representation

Ziyang Song, Lia Shen, Yixuan Li, Qincheng Lu and 5 more

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

– ReadersNo votes yet

1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it

lenient 1/5

medium 0/10

strict 0/5

57%Worth a look

?Worth a lookVote to see the score

NeurIPS 2026McGill Georgia State Ohio Medical LLMs

Severity-Controlled Prediction Sets for Medication Recommendation

Yu Gu, Zijun Yu, Chi-Kuang Yeh, Xinyu Wang and 1 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

– ReadersNo votes yet

1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it

lenient 1/5

medium 0/10

strict 0/5

45%Niche pick

?Niche pickVote to see the score

NeurIPS 2026UTexas Austin, McGill, MILA Cornell McGill McGill University, McGill McGill University / Mila / DeepM Video understanding

The Prestige: Benchmarking Cognitive Visual Reasoning using Magic Tricks

Shuo Wen, Beixi Du, Edwin Meriaux, Junming Shi and 4 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

– ReadersNo votes yet

0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it

lenient 0/5

medium 0/10

strict 0/5

57%Worth a look

?Worth a lookVote to see the score

NeurIPS 2026Mila - Quebec AI Institute, McGi Université de Sherbrooke McGill McGill University | Mila | Ubiso MILA, McGill Text classification

From Claims to Context: Holistic Information Verification Requires Contextual Signals

Emma Kondrup, Islam Eldifrawi, Tong Wu, Zachary Yang and 5 more

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

– ReadersNo votes yet

1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it

lenient 1/5

medium 0/10

strict 0/5

45%Niche pick

?Niche pickVote to see the score

NeurIPS 2026McGill McGill ILLS and MILA | CNRS Paris-Sacl Amazon Time series forecasting

DynaPFN: Zero-Shot Dynamical System Forecasting with Tabular Prior-Fitted Networks

Chiara Roverato, Joseph Cotnareanu, Pablo Piantanida, Boris Oreshkin and 1 more

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

– ReadersNo votes yet

0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it

lenient 0/5

medium 0/10

strict 0/5

45%Niche pick

?Niche pickVote to see the score

NeurIPS 2026Karlsruhe Institute of Technolog McGill KIT Amazon Time series forecasting

SLiDE: Structured Linear Dynamics for Forecasting with Exogenous Inputs

Sebastian Pütz, Theodore Glavas, Benjamin Schäfer, Boris Oreshkin and 1 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet

0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it

lenient 0/5

medium 0/10

strict 0/5

45%Niche pick

?Niche pickVote to see the score

NeurIPS 2026U Manitoba McGill McGill, Mila UT Dallas Mila - Université de Montréal Dynamic graphs

Hydra: Towards Transferable Multi-Task Learning on Temporal Graphs

Kiarash Shamsi, Farimah Poursafaei, Tran Gia Bao Ngo, Reihaneh Rabbany and 5 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

– ReadersNo votes yet

0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it

lenient 0/5

medium 0/10

strict 0/5

57%Worth a look

?Worth a lookVote to see the score

NeurIPS 2026Esker / INSA Lyon / LIRIS Seoul National University, Seoul McGill Ohio State University, Columbus McGill University, McGill Agent benchmarks & environments

WebArena-Pro: A Heterogeneous, Multimodal, Reproducible Benchmark for Web Agents

Imene Kerboua, Fatemeh Pesaran Zadeh, Xing Han Lu, Weijian Qi and 18 more

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

– ReadersNo votes yet

1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it

lenient 1/5

medium 0/10

strict 0/5

45%Niche pick

?Niche pickVote to see the score

NeurIPS 2026U Texas at Austin Theseus AI Labs, Inc.Theseus AI Labs McGill The University of Texas, Austin LLM evaluation & benchmarks

TensorCommitments: A Lightweight Verifiable Inference for Large Language Models

Oguzhan Baser, Elahe Sadeghi, Eric Wang, Nico Vergauwen and 4 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

– ReadersNo votes yet

0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it

lenient 0/5

medium 0/10

strict 0/5

86%Must read

?Must readVote to see the score

NeurIPS 2026SpotlightMcGill U Tennessee, Knoxville McGill & MBZUAI California Institute of Technolo MBZUAI Navigation & SLAM

GeoWind2Plan: Mission-Time 3D Urban Wind Prediction for Energy-Efficient UAV Planning

GeoWind2Plan predicts mission-time 3D urban wind via neural operators to enable energy-efficient UAV planning in seconds, reducing energy by up to 12.7% versus wind-agnostic paths.

Shaoxiang Qin, Xiongye Xiao, Yucheng Zhao, Fuyuan Lyu and 5 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

– ReadersNo votes yet

14/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 14 of 20 reviewers recommend it

lenient 5/5

medium 6/10

strict 3/5

83%Must read

?Must readVote to see the score

NeurIPS 2026Mila / Université de Montréal Mila - Quebec Artificial Intelli McGill U Montreal, Mila Mila, U. Montreal Deep RL

Representation Learning Enables Scalable Multitask Deep Reinforcement Learning

Predictive representation learning combined with high-capacity value approximation drives scalable multitask RL, with the simple model-free MR.Q outperforming world-model methods across continuous control tasks.

Johan Obando Ceron, Lu Li, Scott Fujimoto, Pierre-Luc Bacon and 2 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet

13/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 13 of 20 reviewers recommend it

lenient 4/5

medium 8/10

strict 1/5

72%Highly rated

?Highly ratedVote to see the score

NeurIPS 2026McGill Northeastern Imperial College London King's College London, Univ Tsinghua Robot manipulation

MyoChallenge 2025: A New Benchmark for Human Athletic Intelligence

MyoChallenge 2025 benchmarks musculoskeletal sports control via simulated table tennis and soccer tasks, advancing agile motor algorithms across 70 teams.

Cheryl Wang, Chun Kwang Tan, Balint Hodossy, Shirui Lyu and 20 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet

8/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 8 of 20 reviewers recommend it

lenient 5/5

medium 2/10

strict 1/5

89%Must read

?Must readVote to see the score

NeurIPS 2026UCLA New Jersey Institute of Technolo McGill U California, Los Angeles McMaster LLM reasoning & chain of thought

From Table to Cell: Attention for Better Reasoning with TABALIGN

TABALIGN improves multi-step table reasoning by pairing diffusion planners generating binary cell masks with attention verifiers, raising accuracy 15.76 points and accelerating execution 44.64%.

Tung Sum Thomas Kwok, Zeyong Zhang, Xinyu Wang, Chunhe Wang and 5 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet

16/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 16 of 20 reviewers recommend it

lenient 4/5

medium 9/10

strict 3/5

88%Must read

?Must readVote to see the score

NeurIPS 2026OralKTH Royal Institute of Technolog McGill Karolinska Institute U Cambridge Unified multimodal models

MindAlign: Bridging EEG, Vision, and Language for Zero-Shot Visual Decoding

MindAlign aligns EEG, vision, and language via tri-modal contrastive learning to achieve 54.1% zero-shot visual decoding accuracy on Things-EEG2.

Zexuan Chen, Sichao Liu, Runhao Lu, Huichao Qi and 3 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet

15/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 15 of 20 reviewers recommend it

lenient 4/5

medium 8/10

strict 3/5

76%Highly rated

?Highly ratedVote to see the score

NeurIPS 2026Amazon FAR McGill McGill - Mila McGill Offline RL

Drift Q-Learning

DriftQL combines drift-based behavioral regularization with critic-driven policy improvement to generate high-value actions in one forward pass, outperforming diffusion and flow methods on D4RL and OGBench.

Achraf Anas El Houssaini, Mohamad Hosein Danesh, Amin Abyaneh, Scott Fujimoto and 2 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 1 on Hugging Face

– ReadersNo votes yet

10/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 10 of 20 reviewers recommend it

lenient 3/5

medium 7/10

strict 0/5

78%Highly rated

?Highly ratedVote to see the score

NeurIPS 2026U Toronto McGill University, MILA U California, Irvine McGill Vision backbones

Vision Transformers Learn Gestalt-Like Figure-Ground Cues from Natural Images

Vision transformers learn Gestalt-like figure-ground cues, surroundedness, convexity, and symmetry for uniform regions, from natural images, with linear probes generalizing zero-shot to artificial stimuli.

Matthias Tangemann, Benjamin Lo, Zygmunt Pizlo, Kaleem Siddiqi and 2 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet

11/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 11 of 20 reviewers recommend it

lenient 4/5

medium 5/10

strict 2/5

76%Highly rated

?Highly ratedVote to see the score

NeurIPS 2026ETHZ - ETH Zurich CHI-FRO McGill ETH Zürich Test-time compute

Ensembling Language Models with Sequential Monte Carlo

A byte-level sequential Monte Carlo algorithm samples from composed language model ensembles, outperforming naive probability averaging across structured generation tasks.

Robin Chan, Tianyu Liu, Samuel Kiegeland, Clemente Pasti and 4 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet

10/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 10 of 20 reviewers recommend it

lenient 3/5

medium 7/10

strict 0/5

71%Highly rated

?Highly ratedVote to see the score

NeurIPS 2026McGill Université de Montréal Mila - Quebec Artificial Intelli Google DeepMind Optimization

Phases of Muon: When Muon Eclipses SignSGD

Spectral optimizer analysis reveals three phases where Muon's SignSVD preconditions covariance differently than SignSGD.

Elliot Paquette, Noah Marshall, Lucas Benigni, Guangyuan Wang and 2 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet

7/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 7 of 20 reviewers recommend it

lenient 2/5

medium 4/10

strict 1/5

88%Must read

?Must readVote to see the score

NeurIPS 2026SpotlightU Bristol Mila/École de technologie supéri Microsoft Research McGill U Calgary Probing & representation analysis

The Invisible Hand of Physics: When Video Diffusion Models Know More Than They Show

Video diffusion transformers encode physical plausibility linearly in latent states around 81% accuracy despite lacking predictive training, emerging inside the denoiser rather than the VAE.

Parsa Esmati, Somjit Nath, Katja Hofmann, Derek Nowrouzezahrai and 2 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 1 on Hugging Face

– ReadersNo votes yet

15/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 15 of 20 reviewers recommend it

lenient 5/5

medium 8/10

strict 2/5

80%Must read

?Must readVote to see the score

NeurIPS 2026McGill Carleton TD Insurance Layer 6 AI at TD Fairness & bias

On the Burden of Achieving Fairness in Conformal Prediction

Pooled conformal calibration causes irreducible cross-group coverage distortion and a fundamental tension between equalized coverage and set size. Calibration shifts heterogeneity between coverage and size rather than removing it.

Ziang Gao, Pengqi Liu, Archer Yang, Mouloud Belbahri and 2 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 1 on Hugging Face

– ReadersNo votes yet

12/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 12 of 20 reviewers recommend it

lenient 3/5

medium 6/10

strict 3/5

74%Highly rated

?Highly ratedVote to see the score

NeurIPS 2026Eindhoven University of Technolo Simons Laufer Mathematical Scien McGill Optimization

Computing Thiele Rules on Interval Elections and their Generalizations

Thiele rules are polynomial-time computable on voter-interval and linearly consistent domains via integral linear programming, and linearly consistent domains strictly contain voter-candidate interval domains, though tree-based extensions are NP-hard.

Dimitris Avramidis, Alexandra Anna Lassota, Ulrike Schmidt-Kraepelin, Adrian Vetta

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

– ReadersNo votes yet

9/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 9 of 20 reviewers recommend it

lenient 0/5

medium 6/10

strict 3/5

89%Must read

?Must readVote to see the score

NeurIPS 2026McGill | Mila | Lamarck Labs McGill Université Laval Self-supervised vision

CanViT: Toward Active-Vision Foundation Models

CanViT introduces the first active-vision foundation model with a retinotopic backbone and scene-wide canvas, achieving 38.5% ADE20K mIoU with one glimpse and 84.5% ImageNet accuracy.

Yohaï-Eliel BERREBY, Sabrina Du, Audrey Durand, B. S Krishna

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026 · ▲ 13 on Hugging Face · Code ★ 23

– ReadersNo votes yet

16/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 16 of 20 reviewers recommend it

lenient 4/5

medium 9/10

strict 3/5

91%Must read

?Must readVote to see the score

NeurIPS 2026McGill Huawei Noah's Ark Lab LLM reasoning & chain of thought

Pause and Reflect: Conformal Aggregation for Chain-of-Thought Reasoning

A conformal procedure for chain-of-thought reasoning replaces majority voting with calibrated weighted aggregation to provide finite-sample confident-error guarantees and improves selective accuracy without retraining.

Yu Gu, Zijun Yu, Vahid Partovi Nia, Masoud Asgharian

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet

18/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 18 of 20 reviewers recommend it

lenient 5/5

medium 10/10

strict 3/5